A Math library for computation in JavaScript 📕
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Dec 10, 2022 - JavaScript
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computation
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Time calculations using business hours.
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Jun 13, 2024 - Ruby
C-style arbitrary precision calculator
calculator math bignum mathematics computation arbitrary-precision matrices complex-numbers fraction prime-numbers multiprecision mathematical-functions calc exponentiation primality-testing trigonometric-functions primes calc-language hyperbolic-functions rational-arithmetic
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Aug 9, 2024 - C
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
machine-learning natural-language-processing interpolation computation textclassification textgeneration semisupervised-learning dataaugmentation mixtext
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Jun 5, 2020 - Jupyter Notebook
A library for working with Cellular Automata, for Python.
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Feb 21, 2023 - Python
Econ5170@CUHK: Computational Methods in Economics (2020 Spring).
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Jun 12, 2022 - Jupyter Notebook
zero knowledge for those with zero knowledge
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Mar 5, 2023 - Solidity
Study group for algorithms in Ruby, hosted at App Academy
algorithm compression a-frame strings bloom-filter bit-manipulation computation hash-map edit-distance lempel-ziv huffman-coding
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Jan 19, 2016 - Ruby
JS Client to Fluence Network
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Sep 23, 2024 - TypeScript
💻 A programming language for designing Turing Machines.
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Jun 25, 2020 - Python
A repackaged version of the Kenzo program by Francis Sergeraert and collaborators.
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Mar 1, 2020 - Common Lisp
Virtual Tissue Simulator
c-sharp sda monte-carlo dot-net computation matlab-toolbox spectral-data nurbs reflectance fluence forward-solutions inverse-solutions virtual-photonics computational-biophotonics
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Dec 6, 2024 - C#
WELSIM is the #1 engineering simulation software for the open-source community.
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May 6, 2024 - C++
⏳ 🌌 AssemblyScript Benchmarks
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Jun 25, 2023 - WebAssembly
Write regex using F# computation expressions
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Dec 5, 2023 - F#
"Computational modeling and visualization" resource repository
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Mar 11, 2023 - Jupyter Notebook
This repository is a related to all about Deep Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)
python machine-learning tutorial deep-learning neural-network graph keras computation supervised-learning derivatives logistic-regression convolutional-neural-networks vectorization deep-network forward-propagation binaryclassification logistic-regression-gradient-descent gradient-descent-on-m-examples vectorizing-logistic-regression activiation
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Dec 23, 2024 - Jupyter Notebook
Hastic python core for processing machine learning tasks. Could be used separately.
python big-data messaging websockets computation pattern-recognition anomaly-detection pattern-detection
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Jun 22, 2022 - Python
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